Gastrograph
AI
Traditional
Sensory Systems
GASTROGRAPH AI
Predictive Power
Once a product is profiled in Gastrograph, perception and preference predictions are automatically generated with minimal time and cost
TRADITIONAL
Static Empirical Data
Traditional methods capture snapshot data with a short shelf life that continually requires new expensive testing
GASTROGRAPH AI
Compound Learning
Gastrograph AI is trained on all of your data, all of the time, and is constantly learning. Models are continuously updated and made more accurate
TRADITIONAL
Disposable Data
Data is usually structured in highly specific surveys that can only be used once, and are no longer useful when consumer preferences change
GASTROGRAPH AI
Question Agnostic
Gastrograph AI can be continuously queried to answer new questions and “mined” for new insights
TRADITIONAL
Guesswork
Traditional research methods require you to pre-determine the “right question to ask”. Retrospective analysis to draw new insights is not possible
GASTROGRAPH AI
Actionable Formulation Insights
Gastrograph’s expert formulation tools help you translate consumer sensory descriptors into clear and actionable product enhancement insights
TRADITIONAL
Low Fidelity Sensory Descriptors
Traditional analysis results in low-fidelity sensory descriptors that can be ambiguous and require qualitative interpretation